|Publication number||US6701298 B1|
|Application number||US 09/376,443|
|Publication date||2 Mar 2004|
|Filing date||18 Aug 1999|
|Priority date||18 Aug 1999|
|Publication number||09376443, 376443, US 6701298 B1, US 6701298B1, US-B1-6701298, US6701298 B1, US6701298B1|
|Original Assignee||Envinta/Energetics Group|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (14), Non-Patent Citations (1), Referenced by (74), Classifications (20), Legal Events (6)|
|External Links: USPTO, USPTO Assignment, Espacenet|
1. Field of the Invention
This invention relates to a computerized method for establishing systems for managing the energy use of an energy consuming end user. It is particularly directed toward larger end users, be they corporate (industrial/commercial) or government/institutional for whom, controlling energy consumption and costs is generally done poorly, due to lack of formal management systems. The method and system of this invention facilitate development of strategies for reducing energy consumption and monitoring progress made on an ongoing basis toward the fulfillment of strategy objectives and, ultimately, a reduction in energy consumption and cost. All of this is achieved independently of any physical system by which the utilization of energy is controlled.
2. Description of Prior Art
Conventional energy management, particularly in commercial, corporate and industrial settings, is a technical process, often carried out by systems and methods which directly control energy consumption. Such energy management systems frequently involve measurement of one or more parameters associated with energy consumption. See, for example, U.S. Pat. No. 5,216,623 to Barrett et al., which teaches a system for monitoring various, diverse energy characteristics of an energy consuming system, which system includes a data gathering device that accumulates data representing each of the sensed energy characteristics in real time, which data represents the magnitude of the sensed energy characteristic as well as the time at which the magnitude is sensed. The data that is accumulated for each of the sensed energy characteristics is periodically transmitted to a remote analysis station where a detailed analysis of the sensed energy characteristics is performed and a report generated containing summaries of the sensed data in the form of listings of compressed data as well as graphs such as histograms and graphs correlating different energy characteristics of the energy consuming system.
U.S. Pat. No. 4,979,122 to Davis et al. teaches a method and apparatus for monitoring power in which a power monitor samples a plurality of line cycles during an observation window to generate a plurality of voltage-current sample sets for each line cycle. The sampling of the sample sets is timed such that the voltage-current sample sets are taken at different relative time positions. The power monitor stores incoming voltage-current sample data in one memory area and concurrently analyzes sample data already stored in another memory area.
U.S. Pat. No. 5,237,507 to Chasek teaches a system for developing real time economic incentives to encourage efficient use of the resources of a regulated electric utility. The system comprises sensors that monitor out-of-doors temperatures, mean power supplied by each generator in a utility system during each hour and energy consumed by each customer per hour recorded in calendar-time, computers that are programmed with software developed from algorithms which generate demand-related hourly prices and bonus/surcharge distributions while keeping gross revenues fixed and a subsystem that feeds back pricing information to consumers. Based upon information provided by the system, such as pricing information to consumers, energy utilization efficiency is promoted.
One problem associated with such prior art systems and methods is a tendency toward stagnation. That is, the ability to improve energy utilization efficiency is limited by the operating characteristic of the monitoring and control equipment. Once the equipment has been set up to provide a given improvement in energy utilization efficiency, there is no opportunity for further improving the energy utilization efficiency of the system.
Further, the approach generally taken for energy cost control up to this invention does not impact on management systems and practices of the user. Nor does it integrate with other improvement programs that may be undertaken by the user. Prior to this invention, there has been no way to quantify the effectiveness of management processes for energy cost control and as a result there was no process possible for benchmarking energy management practices. As a result, it was difficult for users to know how well they were performing.
Accordingly, it is one object of this invention to provide a method and system for energy management which is dynamic and, thus, provides the potential for continuously improving energy utilization efficiency up to an optimum efficiency level.
It is another object of this invention to provide a method and system for energy management which functions independently of any energy usage monitoring and control equipment.
It is yet another object of this invention to provide a computerized method for establishing management systems for use by energy consuming end users.
These and other objects of this invention are achieved by a computerized method for energy management comprising the steps of collecting data relating to energy usage and energy-related policies and practices in an automated data processing device, analyzing the data to derive a diagnosis of energy management effectiveness based upon analysis of a plurality of effectiveness elements, determining the relative priority for taking action for each of the effectiveness elements analysed and determining critical elements for action, generating recommendations for improving energy management effectiveness in each critical element, and benchmarking the result against those of other operations.
Diagnosis of energy management effectiveness in accordance with the method of this invention involves consideration of a plurality of effectiveness elements and a level of achievement made in each of the effectiveness elements. Thus, the diagnosis includes an indication of progress achieved with respect to each effectiveness element which, in turn, translates into a determination of actual performance with respect to goals set for each effectiveness element. The diagnosis also defines critical actions to be taken first in order to best effectuate the desired energy utilization objectives. It does this through a novel analysis process, which considers the gap between current practice and best practice in each element, and the priority level set by the user of the software. Information provided by the diagnosis can then be formulated into a series of reports by which the management of an organization can develop strategies, energy-related policies and practices for improving energy utilization efficiency. The diagnostic results can then be automatically benchmarked against other organizations on a web-site benchmarking database.
These and other objects and features of this invention will be better understood from the following detailed description taken in conjunction with the drawings wherein:
FIG. 1 is a general flow diagram for the method of this invention; and
FIG. 2 is a detail of the diagnosis portion or session of the method of this invention.
The second set of data for input into the data processing device is energy use data, which is used (along with SIC code in the energy saving database 9) in the quantification of an organization's energy savings potential 10. In addition, it also contributes to the identification of opportunities for greenhouse gas emission reductions 11. The energy use data collected includes energy sources, for example electricity, natural gas or fuel oil, the annual consumption of each type of fuel and the annual cost for each type of fuel. Also included is data regarding the percentage of renewable energy utilized which is necessary for an accurate calculation of greenhouse gas emissions 11. As conditions change, the “input report” may be modified to reflect the changes.
The next step in the method of this invention is the analysis of the data to arrive at a diagnosis of energy management effectiveness. For details of the diagnostic procedure, see FIG. 2. Data analysis (diagnostic) involves consideration of a plurality of elements of effective energy management 13, each of which elements is considered on the basis of responses by a user to queries regarding each of the elements. The queries 14, presented in simple statement form, are typically statements of organizational attitude towards energy management and activities and practices related to the management of energy use. In each case, the user provides a response indicative of the level of progress made by the organization towards implementation of each of the queried actions. There are a defined set of queried actions corresponding to each level of progress 15, 16, 17, 18 and 19 towards achievement of each effective element to which the queries relate. At the outset, for each element, the initial level of achievement is the lowest level 15. The user may progress through to higher levels of achievement for each effectiveness element to the highest level 19 based upon positive user responses to the queries for each effective element, providing the user is also able to verify achievement of the requirements of a qualifying question (‘self-audit’ or ‘challenger’ question) which tests a practical example relating to the general statements at that level of progress. Thus, to move from Level 0 (15) to Level 1 (16), a user must respond in the affirmative to each of the queries for each effectiveness element for Level 0 (15). To move from Level 1 (16) to Level 2 (17), in addition to affirmatively responding to each of the queries, the user must also conduct a self-audit for verifying the achievement of the requirements thereof and, thus, confirm responses given to the queries. If the user is unable to respond affirmatively to all of the queries and verify the achievement of the requirements at any level of progress, the user does not move to the next level of progress, but rather is given the opportunity to set priorities 20 for actions to be taken to enable movement to the next level of progress. Such priorities include immediate action, action in less than 12 months and no action, as shown in FIG. 2. Responses to the queries for each effectiveness element are stored 3, thereby enabling a user to compare current levels of achievement to previous levels of achievement for a given effectiveness element 9. Upon completion of query responses for each effectiveness element 9, the effectiveness elements are subjected to a priority ranking 5. This ranking, to define ‘critical’ elements 5, is done utilizing an element gap analysis 4 (the higher priority being accorded to elements in which the gap between current practice and ‘best’ practice 19 is the largest), combined with a user priority setting defined for each effectiveness element by the user.
Upon completion of the data analysis, a diagnosis is derived for each of the effectiveness elements, which defines the level of development or achievement by the user with respect to each of the effectiveness elements, the priority given by the user to achievement of each of the effectiveness elements and an indication of effectiveness elements for which critical action 7 is required.
Examples of effectiveness elements include such things as “demonstrated corporate commitment”, “planning processes”, “awareness and training”, “energy operating budgets”, “operating procedures”, “maintenance procedures”, processes for auditing progress and the like.
As a result of the diagnosis, recommendations regarding actions to be taken for improving energy management effectiveness are generated automatically for each of the critical elements. Based upon the recommendations for improving energy management effectiveness, in accordance with one embodiment, the method of this invention further comprises generating an estimate of potehtial energy savings 10 upon achievement of all of the effectiveness elements. In accordance with another embodiment, the method of this invention further comprises generating an estimate of potential greenhouse gas emissions reductions 12 which may be achieved upon implementation of each of the effetiveness elements.
While in the foregoing specification this invention has been described in relation to certain preferred embodiments thereof, and many details have been set forth for purpose of illustration, it will be apparent to those skilled in the art that the invention is susceptible to additional embodiments and that certain of the details described herein can be varied considerably without departing from the basic principles of the invention.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US4979122||1 Feb 1989||18 Dec 1990||Ge Fanuc Automation North America Inc.||Apparatus and method for monitoring power|
|US4990893||29 Apr 1988||5 Feb 1991||Czeslaw Kiluk||Method in alarm system, including recording of energy consumption|
|US5001630||20 Dec 1988||19 Mar 1991||Wiltfong M J||Computerized case history business method|
|US5216623||6 Jun 1990||1 Jun 1993||M. T. Mcbrian, Inc.||System and method for monitoring and analyzing energy characteristics|
|US5237507||21 Dec 1990||17 Aug 1993||Chasek Norman E||System for developing real time economic incentives to encourage efficient use of the resources of a regulated electric utility|
|US5347466||15 Jul 1991||13 Sep 1994||The Board Of Trustees Of The University Of Arkansas||Method and apparatus for power plant simulation and optimization|
|US5717609 *||22 Aug 1996||10 Feb 1998||Emv Technologies, Inc.||System and method for energy measurement and verification with constant baseline reference|
|US5745114||9 Mar 1995||28 Apr 1998||Siemens Energy & Automation, Inc.||Graphical display for an energy management device|
|US5758331 *||15 Aug 1994||26 May 1998||Clear With Computers, Inc.||Computer-assisted sales system for utilities|
|US5794212||10 Apr 1996||11 Aug 1998||Dominion Resources, Inc.||System and method for providing more efficient communications between energy suppliers, energy purchasers and transportation providers as necessary for an efficient and non-discriminatory energy market|
|US6088688 *||8 Apr 1999||11 Jul 2000||Avista Advantage, Inc.||Computerized resource accounting methods and systems, computerized utility management methods and systems, multi-user utility management methods and systems, and energy-consumption-based tracking methods and systems|
|US6122603 *||10 Jun 1998||19 Sep 2000||Powerweb, Inc.||Multi-utility energy control system with dashboard|
|US6178362 *||24 Sep 1998||23 Jan 2001||Silicon Energy Corp.||Energy management system and method|
|US6269624 *||27 Apr 1999||7 Aug 2001||Asea Brown Boveri Ag||Method of operating a power plant with recycled CO2|
|1||*||Bartos, Power Management: Helps your Plant "Live Long and Prosper", Dec. 1998, Control Engineering, vol. 45 Issue 15, pp. 53-60.|
|Citing Patent||Filing date||Publication date||Applicant||Title|
|US6879884 *||10 Mar 2004||12 Apr 2005||Seiko Epson Corporation||Energy evaluation support system, program, information storage medium, and energy evaluation support method|
|US7191067||20 May 2005||13 Mar 2007||Wood Group Esp, Inc.||System and method of selecting a motor for a wellbore|
|US7219069 *||4 May 2001||15 May 2007||Schlumberger Resource Management Services, Inc.||System and method for creating dynamic facility models with data normalization as attributes change over time|
|US7305353 *||1 Mar 2001||4 Dec 2007||Charles Schwab Co., Inc.||System and method for forecasting tax effects of financial transactions|
|US7440906||4 Sep 2001||21 Oct 2008||Accenture Global Services Gmbh||Identification, categorization, and integration of unplanned maintenance, repair and overhaul work on mechanical equipment|
|US7457762||4 Sep 2001||25 Nov 2008||Accenture Global Services Gmbh||Optimization of management of maintenance, repair and overhaul of equipment in a specified time window|
|US7457763||4 Sep 2001||25 Nov 2008||Accenture Global Services Gmbh||Predictive maintenance system|
|US7461008||4 Sep 2001||2 Dec 2008||Accenture Global Services Gmbh||Planning and scheduling modification of a configuration|
|US7502744||4 Sep 2001||10 Mar 2009||Accenture Llp||Performing predictive maintenance based on a predictive maintenance target|
|US7817050||4 Jun 2008||19 Oct 2010||U.E. Systems Inc.||Ultrasonic gas leak detector with an electrical power loss and carbon footprint output|
|US7818270||19 Oct 2010||Carey Margaret M||Method and system for tracking and budgeting energy usage|
|US7895047||14 Jan 2009||22 Feb 2011||Accenture Global Services Limited||Computerized predictive maintenance system and method|
|US7987108||21 Jul 2006||26 Jul 2011||Accenture Global Services Limited||Managing maintenance for an item of equipment|
|US8266066 *||11 Sep 2012||Accenture Global Services Limited||Maintenance, repair and overhaul management|
|US8321187||27 Nov 2012||Rockwell Automation Technologies, Inc.||Process simulation utilizing component-specific consumption data|
|US8428785||23 Apr 2013||Rodney M. Boucher||Enterprise energy automation|
|US8571909 *||15 Aug 2012||29 Oct 2013||Roundhouse One Llc||Business intelligence system and method utilizing multidimensional analysis of a plurality of transformed and scaled data streams|
|US8645174||23 Apr 2010||4 Feb 2014||Ca, Inc.||System and method for managing stakeholder impact on sustainability for an organization|
|US8655698||5 Jun 2007||18 Feb 2014||Accenture Global Services Limited||Performance-based logistics for aerospace and defense programs|
|US8670962||20 Nov 2012||11 Mar 2014||Rockwell Automation Technologies, Inc.||Process simulation utilizing component-specific consumption data|
|US8719185||28 Sep 2010||6 May 2014||Mc Energy, Inc.||Method and system for tracking and budgeting energy usage|
|US8731732 *||24 Feb 2009||20 May 2014||Stanley Klein||Methods and system to manage variability in production of renewable energy|
|US8738190||8 Jan 2010||27 May 2014||Rockwell Automation Technologies, Inc.||Industrial control energy object|
|US8768750||23 Apr 2010||1 Jul 2014||Ca, Inc.||System and method for aligning projects with objectives of an organization|
|US8788312||9 Sep 2008||22 Jul 2014||Accenture Global Services Limited||Identification, categorization, and integration of unplanned maintenance, repair and overhaul work on mechanical equipment|
|US8892540||24 Apr 2009||18 Nov 2014||Rockwell Automation Technologies, Inc.||Dynamic sustainability search engine|
|US9098820 *||23 Feb 2009||4 Aug 2015||International Business Machines Corporation||Conservation modeling engine framework|
|US9129231||24 Apr 2009||8 Sep 2015||Rockwell Automation Technologies, Inc.||Real time energy consumption analysis and reporting|
|US9274518||18 Oct 2011||1 Mar 2016||Rockwell Automation Technologies, Inc.||Industrial control energy object|
|US20020035496 *||20 Mar 2001||21 Mar 2002||Toshihiko Fukushima||Collection method of and collection system for collecting costs of energy-saving facilities|
|US20020165750 *||4 May 2001||7 Nov 2002||Christophe Fouquet||Facility modelization for facility benchmarking|
|US20020165816 *||2 May 2002||7 Nov 2002||Barz Graydon Lee||Method for stochastically modeling electricity prices|
|US20030088433 *||5 Jul 2002||8 May 2003||Computer Associates Think, Inc.||System and method for generating and propagating business events|
|US20040162811 *||4 Sep 2001||19 Aug 2004||Michael Wetzer||Planning, scheduling and allocation of MRO resources|
|US20040225413 *||10 Mar 2004||11 Nov 2004||Takeshi Miyashita||Energy evaluation support system, program, information storage medium, and energy evaluation support method|
|US20050004821 *||4 Sep 2001||6 Jan 2005||Garrow Gary R.||Performing predictive maintenance based on a predictive maintenance target|
|US20050234600 *||15 Apr 2005||20 Oct 2005||Energyconnect, Inc.||Enterprise energy automation|
|US20060015424 *||15 Jul 2004||19 Jan 2006||Augusta Systems, Inc.||Management method, system and product for enterprise environmental programs|
|US20060020544 *||23 Jul 2004||26 Jan 2006||Johnson Controls Technology Company||System and method for tracking emissions|
|US20060161450 *||18 Jan 2006||20 Jul 2006||Mc Energy, Inc.||Method and system for tracking and budgeting energy usage|
|US20060206369 *||15 May 2006||14 Sep 2006||Toshihiko Fukushima||Collection method of and collection system for collecting costs of energy-saving facilities|
|US20070112694 *||14 Nov 2005||17 May 2007||Sempa Power Systems Ltd.||Facility energy management system|
|US20070136129 *||13 Dec 2005||14 Jun 2007||Xerox Corporation||Customer data collection system|
|US20070219841 *||11 May 2007||20 Sep 2007||Christophe Fouquet||Facility modelization for facility benchmarking|
|US20080033860 *||20 Aug 2007||7 Feb 2008||Charles Schwab & Co., Inc.||System and method for forecasting tax effects of financial transactions|
|US20080082183 *||29 Sep 2006||3 Apr 2008||Johnson Controls Technology Company||Building automation system with automated component selection for minimum energy consumption|
|US20080126171 *||5 Jun 2007||29 May 2008||Accenture Global Services Gmbh||Performance-based logistics for aerospace and defense programs|
|US20090006169 *||9 Sep 2008||1 Jan 2009||Accenture Global Services Gmbh||Identification, categorization, and integration of unplanned maintenance, repair and overhaul work on mechanical equipment|
|US20090125277 *||14 Jan 2009||14 May 2009||Accenture Llp||Computerized predictive maintenance system and method|
|US20090216387 *||24 Feb 2009||27 Aug 2009||Open Secure Energy Control Systems, Llc||Methods and system to manage variability in production of renewable energy|
|US20090303058 *||4 Jun 2008||10 Dec 2009||U.E. Systems, Inc.||Ultrasonic gas leak detector with an electrical power loss and carbon footprint output|
|US20100217631 *||23 Feb 2009||26 Aug 2010||International Business Machines Corporation||Conservation modeling engine framework|
|US20100274367 *||28 Oct 2010||Rockwell Automation Technologies, Inc.||Process simulation utilizing component-specific consumption data|
|US20100274377 *||24 Apr 2009||28 Oct 2010||Rockwell Automation Technologies, Inc.||Discrete energy assignments for manufacturing specifications|
|US20100274602 *||24 Apr 2009||28 Oct 2010||Rockwell Automation Technologies, Inc.||Real time energy consumption analysis and reporting|
|US20100274603 *||24 Apr 2009||28 Oct 2010||Rockwell Automation Technologies, Inc.||Dynamic sustainability factor management|
|US20100274611 *||24 Apr 2009||28 Oct 2010||Rockwell Automation Technologies, Inc.||Discrete resource management|
|US20100274612 *||24 Apr 2009||28 Oct 2010||Rockwell Automation Technologies, Inc.||Utilizing sustainability factors for product optimization|
|US20100274629 *||28 Oct 2010||Rockwell Automation Technologies, Inc.||Product lifecycle sustainability score tracking and indicia|
|US20100274810 *||28 Oct 2010||Rockwell Automation Technologies, Inc.||Dynamic sustainability search engine|
|US20100275147 *||24 Apr 2009||28 Oct 2010||Rockwell Automation Technologies, Inc.||Industrial energy demand management and services|
|US20110023045 *||27 Jan 2011||Positive Energy, Inc.||Targeted communication to resource consumers|
|US20110060612 *||23 Apr 2010||10 Mar 2011||Computer Associates Think, Inc.||System and Method for Evaluating Sustainability Projects of an Organization|
|US20110060613 *||23 Apr 2010||10 Mar 2011||Computer Associates Think, Inc.||System and Method for Aligning Projects with Objectives of an Organization|
|US20110060614 *||23 Apr 2010||10 Mar 2011||Computer Associates Think, Inc.||System and Method for Managing Sustainability for an Organization|
|US20110060615 *||23 Apr 2010||10 Mar 2011||Computer Associates Think, Inc.||System and Method for Managing Assessments for an Organization|
|US20110060616 *||23 Apr 2010||10 Mar 2011||Computer Associates Think, Inc.||System and Method for Managing Stakeholder Impact on Sustainability for an Organization|
|US20110060617 *||23 Apr 2010||10 Mar 2011||Computer Associates Think, Inc.||System and Method for Managing Sustainability for an Organization|
|US20110119113 *||20 Aug 2010||19 May 2011||Hara Software, Inc.||Best Practices for Emission and Energy Management|
|US20130046570 *||15 Aug 2012||21 Feb 2013||Mark Raymond Miller||Multidimensional digital platform for building integration and analysis|
|US20130096987 *||18 Apr 2013||Ut Battelle, Llc||Citizen engagement for energy efficient communities|
|US20130096988 *||5 Oct 2012||18 Apr 2013||Mastercard International, Inc.||Nomination engine|
|DE102009025114A1||11 Jun 2009||16 Dec 2010||Alexander Gruber||Device for controlling power supply of electric consumers connected with power supply over socket, has switchable outlet with switching condition connected with power supply|
|EP2345991A1 *||19 Oct 2009||20 Jul 2011||Omron Corporation||Amount-of-room-for-improvement calculation apparatus, method for controlling same, and amount-of-room-for-improvement calculation program|
|U.S. Classification||705/7.39, 705/412, 702/188, 702/62, 700/291, 705/7.38|
|International Classification||G06Q50/06, G06Q10/10, G06Q10/06, G01R21/133|
|Cooperative Classification||G01R21/133, G06Q10/06393, G06Q10/10, G06Q50/06, G06Q10/0639|
|European Classification||G06Q10/10, G06Q50/06, G06Q10/06393, G06Q10/0639, G01R21/133|
|2 Jan 2004||AS||Assignment|
Owner name: ENVINTA/ENERGETICS GROUP, AUSTRALIA
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:JUTSEN, JONATHAN;REEL/FRAME:014848/0921
Effective date: 20031217
|28 Feb 2006||CC||Certificate of correction|
|31 Aug 2007||FPAY||Fee payment|
Year of fee payment: 4
|16 Sep 2009||AS||Assignment|
Owner name: ENERGETICS PTY LTD, AUSTRALIA
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:ENVINTA/ENERGETICS GROUP;REEL/FRAME:023234/0905
Effective date: 20090915
|29 Aug 2011||FPAY||Fee payment|
Year of fee payment: 8
|2 Sep 2015||FPAY||Fee payment|
Year of fee payment: 12